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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    references to moles in various contexts, such as animals, undercover agents, or in medical scenarios

    oai_token-act-pair · gpt-3.5-turbo

    references to "mole" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ctive
    -0.76
    ert
    -0.75
    itution
    -0.74
    ersive
    -0.73
     Fargo
    -0.73
    Jan
    -0.69
    piracy
    -0.69
    ential
    -0.67
    ©¶æ
    -0.67
    enter
    -0.67
    POSITIVE LOGITS
     mole
    1.44
    cule
    1.12
    hill
    0.93
    cules
    0.92
     Mole
    0.89
    gey
    0.81
    mong
    0.70
    htar
    0.69
     lapt
    0.69
    =-=-
    0.69
    Activations Density 0.022%

    No Known Activations